Title: Release and collection method of residual energy for one-dimensional linear-zone internet of things

Authors: Haibo Luo; Zhiqiang Ruan

Addresses: College of Computer and Control Engineering, Minjiang University; Digital Fujian IoT Laboratory of Intelligent Production; Fujian Provincial Key Laboratory of Information Processing and Intelligent Control; Electronic Information and Control of Fujian University Engineering Research Center, 350108 Fuzhou, China ' College of Computer and Control Engineering, Minjiang University; Digital Fujian IoT Laboratory of Intelligent Production; Fujian Provincial Key Laboratory of Information Processing and Intelligent Control; Electronic Information and Control of Fujian University Engineering Research Center, 350108 Fuzhou, China

Abstract: Energy consumption is one of the most important considerations when designing routing and transmission protocols of sensing networks in internet of things. In order to achieve low and balanced power consumption, an effective method is to refer to the residual energy of nodes. Some existing energy-efficiency routing algorithms are designed according to the residual energy of nodes, but they do not give the way of residual energy collection. In this paper, we design a strategy for releasing and collecting residual energy for one-dimensional linear topology networks. By listening to the broadcast messages and evaluating residual energy of forward nodes, nodes can dynamically update the residual energy information of all potential forwarders. The collection error is also analysed theoretically. This method can be applied to opportunistic routing and relay node selection algorithms. The simulation results show that our proposed method has very low collection error, and the error will not accumulate with the operation of the network.

Keywords: internet of things; residual energy; one-dimensional linear zone; collection method.

DOI: 10.1504/IJES.2020.108866

International Journal of Embedded Systems, 2020 Vol.13 No.2, pp.180 - 187

Received: 12 Nov 2018
Accepted: 06 May 2019

Published online: 11 May 2020 *

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